Objective:It aims to measure and analyze the spatial and temporal characteristics of the new quality productivity in China's healthcare service system,in order to reveal the current situation and existing problems of China's medical and health service system,and provide decision-making reference for further optimizing healthcare resource allocation,improving service efficiency and quality,and promoting the deep implementation of the"Healthy China"strategy.Methods:The new quality of productivity in China's healthcare service system from 2010 to 2019 was measured using the entropy weighted TOPSIS method,and the degree of association between each indicator and the new quality of productivity was explored using grey correlation analysis.The dynamic evolution of the new quality productivity in China's healthcare service system was explored using kernel density estimation,and the regional disparities were studied using the Dagum Gini coefficient.Results:The new quality productivity in China's healthcare service system showed an overall upward trend during the sample observation period.The efficiency of medical services,resource utilization level,human resource allocation,and financial input had a significant impact on the improvement of the new quality productivity in the healthcare service system.However,regional disparities constrain the overall development of China's healthcare service system.Conclusion:To further enhance the new quality productivity in China's healthcare service system and promote the equity,efficiency,and sustainable development of healthcare services,efforts should be made to strengthen talent training and recruitment,strengthen investment and upgrading of medical equipment;promote innovation in the medical and health service system;and enhance policy support and regulatory oversight.

Objective To evaluate the value of deep learning(DL)-based artificial intelligence(AI)automatic reconstruction for evaluation of grafts in patients who underwent coronary artery bypass grafting(CABG).Methods Coronary CT angiography data of 90 patients who underwent CABG with a total of 197 grafts were retrospectively analyzed.Taken manual evaluation results(manual group)as the standards,the efficacy of AI(AI group)for evaluating the degree of stenosis of graft and distal autologous blood vessels were assessed.The consistency between calculating unprotected coronary territory(UCT)and the total time for image post-processing and diagnosis were compared between groups.Results AI group showed average consistency with manual group for evaluating the number of grafts([intra-class correlation coefficient,ICC]=0.743,P＜0.05),average to excellent for evaluating the maximum degree of graft stenosis(Kappa=0.310-1.000,all P＜0.05),also average to good consistency for evaluating the maximum degree of stenosis of the native vessel distal to the graft insertion(Kappa=0.292-0.795,all P＜0.05).AI group had moderate consistency with manual group for UCT(ICC=0.469,P＜0.05),achieved an area under the curve of 0.811.The overall time of image post-processing and diagnosis in AI group were both significantly shorter than that in manual group(P＜0.05).Conclusion Having acceptable consistency with manual evaluation and ability for assistant,AI was efficient for automatic reconstructing coronary artery bypass graft and quantifying the degree of graft stenosis.

Objective:It aims to measure and analyze the spatial and temporal characteristics of the new quality productivity in China's healthcare service system,in order to reveal the current situation and existing problems of China's medical and health service system,and provide decision-making reference for further optimizing healthcare resource allocation,improving service efficiency and quality,and promoting the deep implementation of the"Healthy China"strategy.Methods:The new quality of productivity in China's healthcare service system from 2010 to 2019 was measured using the entropy weighted TOPSIS method,and the degree of association between each indicator and the new quality of productivity was explored using grey correlation analysis.The dynamic evolution of the new quality productivity in China's healthcare service system was explored using kernel density estimation,and the regional disparities were studied using the Dagum Gini coefficient.Results:The new quality productivity in China's healthcare service system showed an overall upward trend during the sample observation period.The efficiency of medical services,resource utilization level,human resource allocation,and financial input had a significant impact on the improvement of the new quality productivity in the healthcare service system.However,regional disparities constrain the overall development of China's healthcare service system.Conclusion:To further enhance the new quality productivity in China's healthcare service system and promote the equity,efficiency,and sustainable development of healthcare services,efforts should be made to strengthen talent training and recruitment,strengthen investment and upgrading of medical equipment;promote innovation in the medical and health service system;and enhance policy support and regulatory oversight.

Objective To evaluate the value of deep learning(DL)-based artificial intelligence(AI)automatic reconstruction for evaluation of grafts in patients who underwent coronary artery bypass grafting(CABG).Methods Coronary CT angiography data of 90 patients who underwent CABG with a total of 197 grafts were retrospectively analyzed.Taken manual evaluation results(manual group)as the standards,the efficacy of AI(AI group)for evaluating the degree of stenosis of graft and distal autologous blood vessels were assessed.The consistency between calculating unprotected coronary territory(UCT)and the total time for image post-processing and diagnosis were compared between groups.Results AI group showed average consistency with manual group for evaluating the number of grafts([intra-class correlation coefficient,ICC]=0.743,P＜0.05),average to excellent for evaluating the maximum degree of graft stenosis(Kappa=0.310-1.000,all P＜0.05),also average to good consistency for evaluating the maximum degree of stenosis of the native vessel distal to the graft insertion(Kappa=0.292-0.795,all P＜0.05).AI group had moderate consistency with manual group for UCT(ICC=0.469,P＜0.05),achieved an area under the curve of 0.811.The overall time of image post-processing and diagnosis in AI group were both significantly shorter than that in manual group(P＜0.05).Conclusion Having acceptable consistency with manual evaluation and ability for assistant,AI was efficient for automatic reconstructing coronary artery bypass graft and quantifying the degree of graft stenosis.

OBJECTIVE:To discuss the drug resistance situation and influential factors of sputum culture positive tuberculosis patients in a specialized subject hospital. METHODS:The information of sputum culture positive tuberculosis inpatients were col-lected from Heze infectious disease hospital during Jan. 1st 2014 to Apr. 30th 2015;the results of drug sensitive test were analyzed retrospectively by using absolute concentration method. RESULTS:Among 259 patients,137 cases were drug-resistant(52.90%), among including 69(26.64%) mono-drug resistant cases,52(20.08%) poly-drug resistant cases,15(5.79%)multi-drug resistant cases and 1(0.39%)extensively drug resistant case;streptomycin (31.66%) and amikacin (15.44%) were drugs with the highest drug-resistant rate;there was no statistical significance in resistant rate between different genders and ages(P>0.05),the rate of drug resistance in first-treatment patients was 47.21%,and that of the re-treatment patients was 70.97%,the difference was statisti-cal significant(P<0.05). In addition to ethambutol and kanamycin,other all had mono-drug resistance,there were 27 combinations of poly-drug resistance and 9 combinations of multi-drug resistance. Logistic regression analysis showed that treatment history was a risk factor for drug-resistance,the risk of re-treatment patient was 2.734 times of first-treatment patients. CONCLUSIONS:Sputum culture positive tuberculosis inpatients patients have high drug resistance and complex spectrum in the hospital;we should pay great attention to the risk of drug resistance in senile patients and re-treatment patients,and rational use of streptomycin,amikacin,isoni-azid and capreomycin.

OBJECTIVE:To investigate the protective effect of Guishu blood-activating capsule on cerebral ischemical reperfusion injury of rats.METHODS:The cerebral embolism model rats were established,the rats were randomly divided into model group,nimodipine positive control group,Guishu blood-activating capsule(high,medium and low dosage groups,re?spectively)group and with another sham operation group established.Each group was administered intragastrically with water or the corresponding drugs,the cortexes and hippocampus tissues of the rats were divided into the injured side and the control side,the contents of aspartate(Asp),glutamate(Glu),malonaldehyde(MDA),lactate dehydrogenase(LD),the tumor necrosis factor?(TNF-?)and the activity of glutathione peroxidase(GSH-Px)were determined,the cerebral infarct size was determined by red tetrazoline staining method and the cerebral water content was determined by oven dry process.RE?SULTS:Compared with the model group,in one or several sub-groups of Guishu group,no marked change was noted in the content of Asp while that of the Glu in the injured side of the hippocampus tissues decreased significantly(P